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Moreover, we have also performed a theoretical evaluation of the errors propagation in case of traditional predictive schemes and in case of DVC.
For evaluation of the errors on the scans of normal subjects, a leave-one-out cross-validation was performed.
We have undertaken the first rigorous evaluation of the errors that can be expected when using SYBR green qPCR for quantification of HPV type 16 gene copy numbers.
As the literature contains no adequate evaluation of the errors inherent in SYBR green qPCR analysis of HPV gene copy number, the present study sought to rectify this omission.
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A quantitative evaluation of the error spread is proposed highlighting the significant sensitivity of irregular coupled buildings.
In the following, a more in-depth evaluation of the error robustness for DVC schemes will be provided.
Despite being very accurate, deterministic methods do not allow for an easy evaluation of the error due to discretization.
This changes the problem from the cumbersome numerical integration to that of the evaluation of the error function, for which a large body of work exists.
The experiments allow the evaluation of the error sources such as: stability, axial motion errors (residual errors), material dependence, tilt angle and roughness of the tested object.
This allows an evaluation of the error introduced by the model for the present combustion chamber using the previous numerical simulations.
In [6, 7] a first evaluation of the error resilience properties of a Stanford-based codec and a first comparison with H.264/AVC have been presented and discussed.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com